D 2020

Geographical distribution of sustainable tourism development of the countries of the European Union using the machine learning method

BOTLÍKOVÁ, Milena, Josef BOTLÍK, Petr JANÍK and Jana STUCHLÍKOVÁ

Basic information

Original name

Geographical distribution of sustainable tourism development of the countries of the European Union using the machine learning method

Authors

BOTLÍKOVÁ, Milena (203 Czech Republic, guarantor, belonging to the institution), Josef BOTLÍK (203 Czech Republic), Petr JANÍK (203 Czech Republic, belonging to the institution) and Jana STUCHLÍKOVÁ (203 Czech Republic, belonging to the institution)

Edition

36th. USA, 36th IBIMA Conference: Sustainable Economic Development and Advancing Education Excellence in the Era of Global Pandemic, p. 11090-11097, 8 pp. 2020

Publisher

INT BUSINESS INFORMATION MANAGEMENT ASSOC-IBIMA

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

50901 Other social sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/47813059:19240/20:A0000706

Organization unit

Faculty of Philosophy and Science in Opava

ISBN

978-0-9998551-5-7

Keywords (in Czech)

Udržitelnost; cestovní ruch; enviroment; Evropská unie

Keywords in English

Sustainable; tourism; environment; European Union

Tags

International impact, Reviewed
Změněno: 2/3/2021 11:33, Ing. Milena Botlíková, Ph.D.

Abstract

V originále

On the one hand, the long-term growth of tourism leads to the development of the environment. The mass nature of tourism in recent years has created negative pressures on the social and natural environment. For these reasons, development needs to be geared towards sustainability. Creating an environment in which social, economic and environmental areas are consistent. Measuring the sustainability of tourism in the EU is based on the methodology of European indicators for assessing sustainable development. The article deals with the comparison of sustainable tourism of EU countries on the basis of selected indicators from individual areas of sustainability year-on-year comparison of 2012 and 2017 through machine learning methods and comparative analysis. The results show that there are countries that are still lagging behind in achieving sustainability goals in terms of renewables or waste production.